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Lea Duncker
Publication Activity (10 Years)
Years Active: 2018-2023
Publications (10 Years): 6
Top Topics
Dynamical Models
Gaussian Process
Latent Variable Models
Spike Trains
Top Venues
NeurIPS
CoRR
ICML
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Publications
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Lea Duncker
,
Kiersten M. Ruda
,
Greg D. Field
,
Jonathan W. Pillow
Scalable Variational Inference for Low-Rank Spatiotemporal Receptive Fields.
Neural Comput.
35 (6) (2023)
Julia Costacurta
,
Lea Duncker
,
Blue Sheffer
,
Winthrop Gillis
,
Caleb Weinreb
,
Jeffrey E. Markowitz
,
Sandeep R. Datta
,
Alex H. Williams
,
Scott W. Linderman
Distinguishing discrete and continuous behavioral variability using warped autoregressive HMMs.
NeurIPS
(2022)
Lea Duncker
,
Laura Driscoll
,
Krishna V. Shenoy
,
Maneesh Sahani
,
David Sussillo
Organizing recurrent network dynamics by task-computation to enable continual learning.
NeurIPS
(2020)
Lea Duncker
,
Gergo Bohner
,
Julien Boussard
,
Maneesh Sahani
Learning interpretable continuous-time models of latent stochastic dynamical systems.
CoRR
(2019)
Lea Duncker
,
Gergo Bohner
,
Julien Boussard
,
Maneesh Sahani
Learning interpretable continuous-time models of latent stochastic dynamical systems.
ICML
(2019)
Lea Duncker
,
Maneesh Sahani
Temporal alignment and latent Gaussian process factor inference in population spike trains.
NeurIPS
(2018)